Semester 1

• [DET0101] [10 ECTS] Research Methodology
  The program goals: -To understand the advanced scientific research debates dedicated to the subject in the chosen field, especially the development of key concepts, epistemological aspects of their research. - To collect relevant research material that will utilize their scientific activities and publicity. -To understand the magnitude of the research process and access to the various methods of scientific research and the same with advanced techniques, to be able to use in scientific and professional activity. - With advanced approach to study the relationship between theory and research practice. - To apply the skills and knowledge they have acquired in their doctoral theses, projects.
• [DET0106] [10 ECTS] Advanced Topics in the Field of Cloud Processing
  The course provides an in-depth understanding of the structure of GRID/CLOUD Systems and Grid/CLOUD Computing. The course presents the different components of a Grid and Cloud Systems and how these components fit together. The course goal is to present an up-to-date view of Grids and Clouds that reflects this progress and reports on real experiences and explains the technologies available today and those emerging from labs, companies, and bodies for standards. • As a design plan, the course is intended for software engineers, computing centre managers, technology program managers, chief information officers, and other professionals who will be tasked with developing and deploying Grids and Clouds. This plan is intended to describe what Grids and Clouds will look like, how they will be constructed, and how they will operate. • As a user guide, the course is intended for scientists, engineers, and programmers who will develop applications for Grids and Clouds. For these users, we want to explain what Grid and Clouds applications will look like, how they will be developed, and what new ways of thinking and programming they will require. • As a research agenda, the course is intended for students, researchers, and research managers who want to understand the state of the art in relevant disciplines and the areas in which gaps in our knowledge demand further research.
• [DET0103] [10 ECTS] Advanced Topics in Information Systems
  The study program goals: Study of advanced concepts from the field and terminology of information systems. - Information systems and advanced concepts: hardware, software, networks - E-world: advanced choice for e-business and e-commerce - Evolutionary Processes To learn more about information systems and advanced technologies that improve business values and different business processes across the organization. To apply concepts with different management disciplines, during the process of analysis, interpretation, evaluation and decision making. Understand the redesign process of organizations using information systems. To describe the role of infromacionit systems in decision making. To consider information security as well as ethical and social questions. Become familiar with the Internet, electronic commerce (e-commerce) and electronic business (e-business). Students will be enabled to work on projects, individually or in groups, who by nature can be: case studies, scientific-research projects, development projects or pratical work.

Semester 2

• [C2017] [10 ECTS] Research Methods in Computer Sciences
  The aim of this course program is to introduce research methods concepts in Computer Science to PhD students that are going to peruse in their research, understand the strengths and weakness of each of these methods, how to choose suitable method(s) for their investigations, how to carry out investigations using these methods, properly identify the threats associated with these methods and how to deal with them as well as reporting the results of these investigations.
• [10 ECTS] Professional Elective Course
  • [EET0101] Advanced topics in software engineering
    The purpose of the course is to provide students an opportunity to learn advanced concepts and achieve deep understanding, critical and systematic knowledge of the principles and techniques for software specification, analysis and design, programming, testing and evaluation, maintenance and management of software applications effective projection. Results of the course are that students will be provided a clear understanding of the tools and methodologies for development of software solutions. After following the course the students should be able to: - Analyze the process of developing software solutions and precisely and concisely express the essence; - Design the module structure for the solution of the problem and evaluation of alternatives; - Programming and implementation of software module so would execute in the right and efficient manner; - Work in small teams, cooperate in various aspects of software development, and in the exchange of ideas and managing projects in an organized manner; Assess the skills necessary for development and methodological questions for software development, such as the importance of thought the user as feedback, work with limited resources, maintenance, testing, and managing software development team.
  • [EET0102] Advanced topics in applied statistics for data processing
    The purpose of this course is to enable students to acquire the advanced knowledge of statistics that have direct application in the field of computer science and technology. The goal is to learn how to do the processing of advanced statistics, their laws, their representation legalities of adopting appropriate conclusions based on data processed etc. Also the aim is to learn advanced principles of probability and how these principles can be applied in various areas of everyday life, especially in the area computer sciences.
  • [EET0103] Advanced topics in XML and semantic web
    The purpose of this course is to offer students knowledge and deep understanding of advanced methods and approaches related to the use of modern techniques for information search and adaptive mechanisms for Web-based content, and semantic web technologies. Upon completion of this module the student should have a good understanding of the various methods of information search and data mining on the Internet; good understanding of the different approaches to the collection, exploitation and application of inteligent mechanisms for web-based data and content; understand principles semantic modeling of information and how that can be used for automation, integration and reuse in web applications; understand different development frameworks for implementing adaptable web applications and services as well as be able to implement a prototype web application that uses the adaptive and semantic mechanisms to provide a rich user experience.
  • [EET0104] Advanced topics from web architectures
    The purpose of this course is to provide students with a deeper understanding and competencies of advanced concepts and ideas that emphasize the architectural models of web-enabled and mobile internet. Upon completion, students should: have a deep understanding of the concepts, principles, methods and techniques required for the design, analysis and maintenance of large and scalable web and mobile applications and services; understand and be able to make appropriate design decisions related to the persistence, flexibility, scalability and maintainability of the various software architectures used in web and mobile applications; have a deep understanding of concept regarding the complex web infrastructures and protocols that are required for the establishment of social media applications and mobile services; to have a good understanding of different architectural patterns for deploying large-scale web and mobile applications as well as to understand and use different integration approaches for expansion of existing web applications in order to meet the requirements of on-line communities.
  • [EET0105] Advanced topics of computer architectures
    Thе coursе will discuss a series of adavcend topics related to the architecture, programming model, compilation, of computer architectures. The goal is to identify key research issues and, through the projects, evaluate the potential of promising techniques. The goal is to provide performance and power efficiency similar to application-specific designs while maintaining the programmability and flexibility of general-purpose processors.
  • [EET0106] Advanced topics in the analysis and design of algorithms
    The course focuses on advanced principles for the design of algorithms and realizes an overview of existing algorithms. The focus is placed on the process of designing algorithms, including problems, specifications, algorithms; efficiency: temporal and spatial complexity; big O notation; fundamental design strategies: greedy algorithms, divide and conquer, dynamic programming. The course will focus on the most important existing algorithms in bioinformatics, including algorithms for exact match strings, suffix trees, aligning pairs of dynamic programming algorithms; heuristical algorithms: Blast and FastA; statistical alignment algorithms: Hidden Markov models; alignment of multiple sequences: algorithms and heuristics; algorithms related to the molecular structure: determination and prediction of the structure. Special emphasis will be given to the complexity and usability of the algorithms.
  • [EET0112] Advanced topics of security in Information Technology
    Aims of the course program: Students of this course shall be able to: • understand advanced concepts in designing, developing, managing and analyzing security systems; • review inter-dependencies between system components and point out major vulnerabilities; • design security mechanisms; • reflect requirements and demands that have to be addressed when solving problems and security issues in common computer systems; • create both written project report and (oral) presentation of the project
  • [EET0114] Advanced Topics from the Application of Information and Communication Technologies in Other Fields
    The course represents a specialized study within an area of Computer Sciences, guided by a supervisor. Topics include theoretical and applied aspects of Information and Communication Technologies in other fields. They are combined with a guided reading and research with a significant individual or group project component. Advanced topics will be adapted toward the common research interests of PhD candidates and the supervisor of the course. Different topic tracks can be selected from individual students.
  • [EET0115] Advanced Big Data Analytics
    Aims of the course program: • Students should be aware of and use Big Data Flow for real projects; • To be competent to explain and relate the Data Analytics lifecycle with Big Data projects and guide other team subordinates in the practice; • To recognize and effectively make use of proper methods and tools to resolve real Big Data problems ; • To develop a comprehensive knowledge of Big Data ecosystem, including utilities such as HDFS, MapReduce, Hadoop, YARN, HBase, Spark, Pig etc.
  • [DET0104] Advanced topics in the field of Information and Communication Technologies
    The purpose of this course is to offer students knowledge and deep understanding of advanced methods and approaches needed to support and enhance the accessibility of Information and Communication Technologies, alleviating the challenges faced across areas such as business intelligence, effective computing, opinion mining, text understanding, human-computer communication, human-human interaction etc. Most of these techniques are based on machine learning algorithms, which assist in drawing conclusions within unstructured data that allow patterns to be detected, providing an overview of the main problems that researchers are facing nowadays in this field, with a set of selected publications in the area.
  • [EET0113] Advanced Topics from Selected Areas in Data Mining
    This course aims to introduce students with the current research in selected areas in the field of data mining. It will provide students with different algorithms, techniques and tools that are used in data mining, placing them in the context of different problems and giving the current results obtained for each problem. Students will learn about the different aspects of data mining such as collection of vast amounts of data, their organization and analysis, as well as complex knowledge discovery based on these data. Students will also be given an insight into the main problems that researchers are facing nowadays, in the form of selected set of publications in the area. The purpose is for students to identify different directions toward which they can work during their studies and in their further research.
• [10 ECTS] Professional Elective Course
  • [EET0101] Advanced topics in software engineering
    The purpose of the course is to provide students an opportunity to learn advanced concepts and achieve deep understanding, critical and systematic knowledge of the principles and techniques for software specification, analysis and design, programming, testing and evaluation, maintenance and management of software applications effective projection. Results of the course are that students will be provided a clear understanding of the tools and methodologies for development of software solutions. After following the course the students should be able to: - Analyze the process of developing software solutions and precisely and concisely express the essence; - Design the module structure for the solution of the problem and evaluation of alternatives; - Programming and implementation of software module so would execute in the right and efficient manner; - Work in small teams, cooperate in various aspects of software development, and in the exchange of ideas and managing projects in an organized manner; Assess the skills necessary for development and methodological questions for software development, such as the importance of thought the user as feedback, work with limited resources, maintenance, testing, and managing software development team.
  • [EET0102] Advanced topics in applied statistics for data processing
    The purpose of this course is to enable students to acquire the advanced knowledge of statistics that have direct application in the field of computer science and technology. The goal is to learn how to do the processing of advanced statistics, their laws, their representation legalities of adopting appropriate conclusions based on data processed etc. Also the aim is to learn advanced principles of probability and how these principles can be applied in various areas of everyday life, especially in the area computer sciences.
  • [EET0103] Advanced topics in XML and semantic web
    The purpose of this course is to offer students knowledge and deep understanding of advanced methods and approaches related to the use of modern techniques for information search and adaptive mechanisms for Web-based content, and semantic web technologies. Upon completion of this module the student should have a good understanding of the various methods of information search and data mining on the Internet; good understanding of the different approaches to the collection, exploitation and application of inteligent mechanisms for web-based data and content; understand principles semantic modeling of information and how that can be used for automation, integration and reuse in web applications; understand different development frameworks for implementing adaptable web applications and services as well as be able to implement a prototype web application that uses the adaptive and semantic mechanisms to provide a rich user experience.
  • [EET0104] Advanced topics from web architectures
    The purpose of this course is to provide students with a deeper understanding and competencies of advanced concepts and ideas that emphasize the architectural models of web-enabled and mobile internet. Upon completion, students should: have a deep understanding of the concepts, principles, methods and techniques required for the design, analysis and maintenance of large and scalable web and mobile applications and services; understand and be able to make appropriate design decisions related to the persistence, flexibility, scalability and maintainability of the various software architectures used in web and mobile applications; have a deep understanding of concept regarding the complex web infrastructures and protocols that are required for the establishment of social media applications and mobile services; to have a good understanding of different architectural patterns for deploying large-scale web and mobile applications as well as to understand and use different integration approaches for expansion of existing web applications in order to meet the requirements of on-line communities.
  • [EET0105] Advanced topics of computer architectures
    Thе coursе will discuss a series of adavcend topics related to the architecture, programming model, compilation, of computer architectures. The goal is to identify key research issues and, through the projects, evaluate the potential of promising techniques. The goal is to provide performance and power efficiency similar to application-specific designs while maintaining the programmability and flexibility of general-purpose processors.
  • [EET0106] Advanced topics in the analysis and design of algorithms
    The course focuses on advanced principles for the design of algorithms and realizes an overview of existing algorithms. The focus is placed on the process of designing algorithms, including problems, specifications, algorithms; efficiency: temporal and spatial complexity; big O notation; fundamental design strategies: greedy algorithms, divide and conquer, dynamic programming. The course will focus on the most important existing algorithms in bioinformatics, including algorithms for exact match strings, suffix trees, aligning pairs of dynamic programming algorithms; heuristical algorithms: Blast and FastA; statistical alignment algorithms: Hidden Markov models; alignment of multiple sequences: algorithms and heuristics; algorithms related to the molecular structure: determination and prediction of the structure. Special emphasis will be given to the complexity and usability of the algorithms.
  • [EET0112] Advanced topics of security in Information Technology
    Aims of the course program: Students of this course shall be able to: • understand advanced concepts in designing, developing, managing and analyzing security systems; • review inter-dependencies between system components and point out major vulnerabilities; • design security mechanisms; • reflect requirements and demands that have to be addressed when solving problems and security issues in common computer systems; • create both written project report and (oral) presentation of the project
  • [EET0114] Advanced Topics from the Application of Information and Communication Technologies in Other Fields
    The course represents a specialized study within an area of Computer Sciences, guided by a supervisor. Topics include theoretical and applied aspects of Information and Communication Technologies in other fields. They are combined with a guided reading and research with a significant individual or group project component. Advanced topics will be adapted toward the common research interests of PhD candidates and the supervisor of the course. Different topic tracks can be selected from individual students.
  • [EET0115] Advanced Big Data Analytics
    Aims of the course program: • Students should be aware of and use Big Data Flow for real projects; • To be competent to explain and relate the Data Analytics lifecycle with Big Data projects and guide other team subordinates in the practice; • To recognize and effectively make use of proper methods and tools to resolve real Big Data problems ; • To develop a comprehensive knowledge of Big Data ecosystem, including utilities such as HDFS, MapReduce, Hadoop, YARN, HBase, Spark, Pig etc.
  • [DET0104] Advanced topics in the field of Information and Communication Technologies
    The purpose of this course is to offer students knowledge and deep understanding of advanced methods and approaches needed to support and enhance the accessibility of Information and Communication Technologies, alleviating the challenges faced across areas such as business intelligence, effective computing, opinion mining, text understanding, human-computer communication, human-human interaction etc. Most of these techniques are based on machine learning algorithms, which assist in drawing conclusions within unstructured data that allow patterns to be detected, providing an overview of the main problems that researchers are facing nowadays in this field, with a set of selected publications in the area.

Semester 3/4

• [DET0105] [20 ECTS] Preparation and submission of the application for the topic of doctoral dissertation-res
  After the second semester, students begin their activities for the development of the plan on his/her doctoral dissertation. Activities include the definition of literature, defining hypothetical framework, the definition of the work methodology and determination of the individual plan as well as the first public presentation. If necessary, can be held elective courses for this purpose.
• [DET0106-S3] [10 ECTS] Doctoral seminar with a presentation of the report I
  Candidates will submit a list of all seminars attended, which are relevant to their field and/or their research interest at any where in the world, on the attached prescribed form to their supervisors for acknowledgement. These seminars should be research in nature. A report should be written by the students in his/her own words for each seminar attended. The report summarizes key points and provides student’s critical assessment. The student is typically required to initiate a discussion with fellow researchers on the topic to help him/her write the report.

• [DET0107] [10 ECTS] Researching and organizing a workshop for research practice
  Researching and organizing a workshop for research is an integral part of the the study program. Candidates will enhance their knowledge, broaden research outlook, and improve thinking and communication skills. Attendance and participation in workshop, together with the related discussions with fellow researchers on topics addressed in the workshop, will aid in the candidate skills of conducting the dissertation.
• [DET0108] [15 ECTS] Publications
  Publication of research activities under the table relevant to the media for publication. Publication activities and successes of the candidate checked before scientific audience by area and the relevance of the research.
• [C2021] [5 ECTS] Student Mobility
  During the fourth semester the student is obliged to visit and contribute to a relevant institution abroad for a period of at least one week. The aim of PhD students’ mobility is to request candidates to present, exchange and discuss their research work with their colleagues from other countries for improving the quality of their dissertation. For the realization of mobility, the student brings evidence to the mentor.

Semester 5

• [DET0109] [20 ECTS] Presentation of Research Results
  At the end of the 5th semester, after the research activities under the individual plan, overall results of this phase of the paper and the research will be presented publicly by the candidate.
• [DET0106-S5] [10 ECTS] Doctoral seminar with a presentation of the report II
  Candidates will submit a list of all seminars attended, which are relevant to their field and/or their research interest at any where in the world, on the attached prescribed form to their supervisors for acknowledgement. These seminars should be research in nature. A report should be written by the students in his/her own words for each seminar attended. The report summarizes key points and provides student’s critical assessment. The student is typically required to initiate a discussion with fellow researchers on the topic to help him/her write the report.

Semester 6

• [CST-PHD-THESIS] [30 ECTS] Doctoral Dissertation
  Continuing the work of doctoral dissertation. Submitted thesis (dissertation), accepted by the Scientific-Teaching Council of the Faculty and submitted to committee members and begins the procedure of public defense.